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Using decision analysis to improve malaria control policy making

Author

Listed:
  • Kramer, Randall A.
  • Dickinson, Katherine L.
  • Anderson, Richard M.
  • Fowler, Vance G.
  • Miranda, Marie Lynn
  • Mutero, Clifford M.
  • Saterson, Kathryn A.
  • Wiener, Jonathan B.

Abstract

Malaria and other vector-borne diseases represent a significant and growing burden in many tropical countries. Successfully addressing these threats will require policies that expand access to and use of existing control methods, such as insecticide-treated bed nets (ITNs) and artemesinin combination therapies (ACTs) for malaria, while weighing the costs and benefits of alternative approaches over time. This paper argues that decision analysis provides a valuable framework for formulating such policies and combating the emergence and re-emergence of malaria and other diseases. We outline five challenges that policy makers and practitioners face in the struggle against malaria, and demonstrate how decision analysis can help to address and overcome these challenges. A prototype decision analysis framework for malaria control in Tanzania is presented, highlighting the key components that a decision support tool should include. Developing and applying such a framework can promote stronger and more effective linkages between research and policy, ultimately helping to reduce the burden of malaria and other vector-borne diseases.

Suggested Citation

  • Kramer, Randall A. & Dickinson, Katherine L. & Anderson, Richard M. & Fowler, Vance G. & Miranda, Marie Lynn & Mutero, Clifford M. & Saterson, Kathryn A. & Wiener, Jonathan B., 2009. "Using decision analysis to improve malaria control policy making," Health Policy, Elsevier, vol. 92(2-3), pages 133-140, October.
  • Handle: RePEc:eee:hepoli:v:92:y:2009:i:2-3:p:133-140
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    References listed on IDEAS

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    1. Ikuho Kochi & Bryan Hubbell & Randall Kramer, 2006. "An Empirical Bayes Approach to Combining and Comparing Estimates of the Value of a Statistical Life for Environmental Policy Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(3), pages 385-406, July.
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    1. Matteo Pedercini & Santiago Movilla Blanco & Birgit Kopainsky, 2011. "Application of the Malaria Management Model to the Analysis of Costs and Benefits of DDT versus Non-DDT Malaria Control," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-12, November.
    2. Zachary S. Brown & Randall A. Kramer, 2018. "Preference Heterogeneity in the Structural Estimation of Efficient Pigovian Incentives for Insecticide Spraying to Reduce Malaria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 169-190, May.
    3. Manuela Runge & Robert W Snow & Fabrizio Molteni & Sumaiyya Thawer & Ally Mohamed & Renata Mandike & Emanuele Giorgi & Peter M Macharia & Thomas A Smith & Christian Lengeler & Emilie Pothin, 2020. "Simulating the council-specific impact of anti-malaria interventions: A tool to support malaria strategic planning in Tanzania," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-25, February.

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